DocumentCode :
1148218
Title :
A numerical method to evaluate power system global stability determined by limit cycle
Author :
Watanabe, Masayuki ; Mitani, Yasunori ; Tsuji, Kiichiro
Author_Institution :
Fac. of Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Volume :
19
Issue :
4
fYear :
2004
Firstpage :
1925
Lastpage :
1934
Abstract :
This paper presents a method to investigate a global stability in a multi-machine power system with multiple dominant power oscillation modes. The global stability boundary formed by an unstable limit cycle is predicted by means of Hopf bifurcation theory. The authors have investigated a numerical method to analyze the nonlinear characteristics in power systems by acquiring the power swing data where the coefficients of nonlinear polynomial terms are determined by the least squares method. A modified method has been also developed for the application to large-scale multi-machine power systems with longitudinally interconnected configuration. Numerical examples illustrate that the influence of the modal interaction on the nonlinear structure of the power system as well as the Hopf bifurcation characteristics can be evaluated by the proposed method.
Keywords :
bifurcation; least squares approximations; limit cycles; nonlinear systems; oscillations; polynomials; power system interconnection; power system stability; Hopf bifurcation theory; large-square power system; least square method; limit cycle; multimachine power system; nonlinear polynomial term; power oscillation; power swing data; power system global stability; Bifurcation; Equations; Limit-cycles; Nonlinear systems; Power system analysis computing; Power system dynamics; Power system interconnection; Power system modeling; Power system stability; Power system transients; 65; Bifurcation; limit cycles; nonlinear systems; power system stability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2004.836205
Filename :
1350832
Link To Document :
بازگشت